Modelling Trends and Cycles in Economic Time Series

Modelling Trends and Cycles in Economic Time Series
Author: Terence C. Mills
Publisher: Springer Nature
Total Pages: 219
Release: 2021-07-29
Genre: Business & Economics
ISBN: 3030763595

Download Modelling Trends and Cycles in Economic Time Series Book in PDF, Epub and Kindle

Modelling trends and cycles in economic time series has a long history, with the use of linear trends and moving averages forming the basic tool kit of economists until the 1970s. Several developments in econometrics then led to an overhaul of the techniques used to extract trends and cycles from time series. In this second edition, Terence Mills expands on the research in the area of trends and cycles over the last (almost) two decades, to highlight to students and researchers the variety of techniques and the considerations that underpin their choice for modelling trends and cycles.

Modelling Trends and Cycles in Economic Time Series

Modelling Trends and Cycles in Economic Time Series
Author: T. Mills
Publisher: Springer
Total Pages: 184
Release: 2003-05-15
Genre: Business & Economics
ISBN: 0230595529

Download Modelling Trends and Cycles in Economic Time Series Book in PDF, Epub and Kindle

Modelling trends and cycles in economic time series has a long history, with the use of linear trends and moving averages forming the basic tool kit of economists until the 1970s. Several developments in econometrics then led to an overhaul of the techniques used to extract trends and cycles from time series. Terence Mills introduces these various approaches to allow students and researchers to appreciate the variety of techniques and the considerations that underpin their choice for modelling trends and cycles.

Time Series Analysis and Adjustment

Time Series Analysis and Adjustment
Author: Haim Y. Bleikh
Publisher: CRC Press
Total Pages: 149
Release: 2016-02-24
Genre: Business & Economics
ISBN: 1317010183

Download Time Series Analysis and Adjustment Book in PDF, Epub and Kindle

In Time Series Analysis and Adjustment the authors explain how the last four decades have brought dramatic changes in the way researchers analyze economic and financial data on behalf of economic and financial institutions and provide statistics to whomsoever requires them. Such analysis has long involved what is known as econometrics, but time series analysis is a different approach driven more by data than economic theory and focused on modelling. An understanding of time series and the application and understanding of related time series adjustment procedures is essential in areas such as risk management, business cycle analysis, and forecasting. Dealing with economic data involves grappling with things like varying numbers of working and trading days in different months and movable national holidays. Special attention has to be given to such things. However, the main problem in time series analysis is randomness. In real-life, data patterns are usually unclear, and the challenge is to uncover hidden patterns in the data and then to generate accurate forecasts. The case studies in this book demonstrate that time series adjustment methods can be efficaciously applied and utilized, for both analysis and forecasting, but they must be used in the context of reasoned statistical and economic judgment. The authors believe this is the first published study to really deal with this issue of context.

Long Term Trends and Business Cycles

Long Term Trends and Business Cycles
Author: Terence C. Mills
Publisher: Edward Elgar Publishing
Total Pages: 0
Release: 2002
Genre: Business cycles
ISBN: 9781840647860

Download Long Term Trends and Business Cycles Book in PDF, Epub and Kindle

This two-volume reference for students, researchers, and lecturers in economics presents a selection of the most important articles in the field published between 1923 and 1999. The 31 articles in Volume I cover topics related to business cycles including first attempts at measuring, traditional theories, sceptic views and early empirical methods, measurement without theory debate, interactions between trends and cycles, modern theories, and nonlinear and duration models. The 23 contributions in Volume II discuss dating business cycle turning points, modelling trends and cycles in economic time series, detrending economic time series, and historical examinations of trends and cycles. There is no subject index. Annotation copyrighted by Book News, Inc., Portland, OR

Time Series Models for Business and Economic Forecasting

Time Series Models for Business and Economic Forecasting
Author: Philip Hans Franses
Publisher: Cambridge University Press
Total Pages: 421
Release: 2014-04-24
Genre: Business & Economics
ISBN: 1139952129

Download Time Series Models for Business and Economic Forecasting Book in PDF, Epub and Kindle

With a new author team contributing decades of practical experience, this fully updated and thoroughly classroom-tested second edition textbook prepares students and practitioners to create effective forecasting models and master the techniques of time series analysis. Taking a practical and example-driven approach, this textbook summarises the most critical decisions, techniques and steps involved in creating forecasting models for business and economics. Students are led through the process with an entirely new set of carefully developed theoretical and practical exercises. Chapters examine the key features of economic time series, univariate time series analysis, trends, seasonality, aberrant observations, conditional heteroskedasticity and ARCH models, non-linearity and multivariate time series, making this a complete practical guide. Downloadable datasets are available online.

Measuring Business Cycles in Economic Time Series

Measuring Business Cycles in Economic Time Series
Author: Regina Kaiser
Publisher: Springer Science & Business Media
Total Pages: 198
Release: 2012-12-06
Genre: Business & Economics
ISBN: 1461301297

Download Measuring Business Cycles in Economic Time Series Book in PDF, Epub and Kindle

This book outlines and demonstrates problems with the use of the HP filter, and proposes an alternative strategy for inferring cyclical behavior from a time series featuring seasonal, trend, cyclical and noise components. The main innovation of the alternative strategy involves augmenting the series forecasts and back-casts obtained from an ARIMA model, and then applying the HP filter to the augmented series. Comparisons presented using artificial and actual data demonstrate the superiority of the alternative strategy.

Periodicity & Stochastic Trends in Economic Time Series

Periodicity & Stochastic Trends in Economic Time Series
Author: Philip Hans Franses
Publisher:
Total Pages: 0
Release: 2023
Genre: Cycles
ISBN: 9781383033144

Download Periodicity & Stochastic Trends in Economic Time Series Book in PDF, Epub and Kindle

This text provides a self-contained account of periodic models for seasonally observed economic time series with stochastic trends. The analysis considers econometric theory, Monte Carlo simulation and forecasting, and it is illuminated with empirical time series.

Economic Time Series

Economic Time Series
Author: William R. Bell
Publisher: CRC Press
Total Pages: 544
Release: 2018-11-14
Genre: Mathematics
ISBN: 1439846588

Download Economic Time Series Book in PDF, Epub and Kindle

Economic Time Series: Modeling and Seasonality is a focused resource on analysis of economic time series as pertains to modeling and seasonality, presenting cutting-edge research that would otherwise be scattered throughout diverse peer-reviewed journals. This compilation of 21 chapters showcases the cross-fertilization between the fields of time s

Time Series Techniques for Economists

Time Series Techniques for Economists
Author: Terence C. Mills
Publisher: Cambridge University Press
Total Pages: 392
Release: 1990
Genre: Business & Economics
ISBN: 9780521405744

Download Time Series Techniques for Economists Book in PDF, Epub and Kindle

The application of time series techniques in economics has become increasingly important, both for forecasting purposes and in the empirical analysis of time series in general. In this book, Terence Mills not only brings together recent research at the frontiers of the subject, but also analyses the areas of most importance to applied economics. It is an up-to-date text which extends the basic techniques of analysis to cover the development of methods that can be used to analyse a wide range of economic problems. The book analyses three basic areas of time series analysis: univariate models, multivariate models, and non-linear models. In each case the basic theory is outlined and then extended to cover recent developments. Particular emphasis is placed on applications of the theory to important areas of applied economics and on the computer software and programs needed to implement the techniques. This book clearly distinguishes itself from its competitors by emphasising the techniques of time series modelling rather than technical aspects such as estimation, and by the breadth of the models considered. It features many detailed real-world examples using a wide range of actual time series. It will be useful to econometricians and specialists in forecasting and finance and accessible to most practitioners in economics and the allied professions.

Business Cycles

Business Cycles
Author: Francis X. Diebold
Publisher: Princeton University Press
Total Pages: 438
Release: 2020-10-06
Genre: Business & Economics
ISBN: 0691219583

Download Business Cycles Book in PDF, Epub and Kindle

This is the most sophisticated and up-to-date econometric analysis of business cycles now available. Francis Diebold and Glenn Rudebusch have long been acknowledged as leading experts on business cycles. And here they present a highly integrative collection of their most important essays on the subject, along with a detailed introduction that draws together the book's principal themes and findings. Diebold and Rudebusch use the latest quantitative methods to address five principal questions about the measurement, modeling, and forecasting of business cycles. They ask whether business cycles have become more moderate in the postwar period, concluding that recessions have, in fact, been shorter and shallower. They consider whether economic expansions and contractions tend to die of "old age." Contrary to popular wisdom, they find little evidence that expansions become more fragile the longer they last, although they do find that contractions are increasingly likely to end as they age. The authors discuss the defining characteristics of business cycles, focusing on how economic variables move together and on the timing of the slow alternation between expansions and contractions. They explore the difficulties of distinguishing between long-term trends in the economy and cyclical fluctuations. And they examine how business cycles can be forecast, looking in particular at how to predict turning points in cycles, rather than merely the level of future economic activity. They show here that the index of leading economic indicators is a poor predictor of future economic activity, and consider what we can learn from other indicators, such as financial variables. Throughout, the authors make use of a variety of advanced econometric techniques, including nonparametric analysis, fractional integration, and regime-switching models. Business Cycles is crucial reading for policymakers, bankers, and business executives.